Chester Holtz

3 papers · 2020–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

ICLR (1) JMLR (1) NeurIPS (1)

Top co-authors

Gal Mishne (2) Johann Faouzi (1) Changhao Shi (1) Chung-Kuan Cheng (1) Eli Woods (1) Romain Tavenard (1) Pengwen Chen (1) Gilles Vandewiele (1) Marc Rußwurm (1) Guillaume Androz (1)

Research topics

Machine Learning (3) Learning Types (2) Data Science & Analytics (1) Mathematics & Optimization (1) Application Areas (1) Core Methods (1) Methods (1) Optimization (1)

Keywords

representation learning (1) semi-supervised learning (1) feature extraction (1) time series clustering (1) self-supervised learning (1) time series classification (1) graph partitioning (1) quadratic programming (1) adversarial defense (1) adversarial purification (1) time series regression (1) time series preprocessing (1) machine learning toolkit (1) laplace learning (1) test-time purification (1)

Papers

Continuous Partitioning for Graph-Based Semi-Supervised Learning NeurIPS 2024 Online Adversarial Purification based on Self-supervised Learning ICLR 2021 Tslearn, A Machine Learning Toolkit for Time Series Data JMLR 2020